[ https://issues.apache.org/jira/browse/SPARK-25908?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-25908. ------------------------------- Resolution: Fixed Fix Version/s: 3.0.0 Issue resolved by pull request 22921 [https://github.com/apache/spark/pull/22921] > Remove old deprecated items in Spark 3 > -------------------------------------- > > Key: SPARK-25908 > URL: https://issues.apache.org/jira/browse/SPARK-25908 > Project: Spark > Issue Type: Task > Components: Spark Core, SQL > Affects Versions: 3.0.0 > Reporter: Sean Owen > Assignee: Sean Owen > Priority: Major > Fix For: 3.0.0 > > > There are many deprecated methods and classes in Spark. They _can_ be removed > in Spark 3, and for those that have been deprecated a long time (i.e. since > Spark <= 2.0), we should probably do so. This addresses most of these cases, > the easiest ones, those that are easy to remove and are old: > - Remove some AccumulableInfo .apply() methods > - Remove non-label-specific multiclass precision/recall/fScore in favor of > accuracy > - Remove toDegrees/toRadians in favor of degrees/radians (SparkR: only > deprecated) > - Remove approxCountDistinct in favor of approx_count_distinct (SparkR: only > deprecated) > - Remove unused Python StorageLevel constants > - Remove Dataset unionAll in favor of union > - Remove unused multiclass option in libsvm parsing > - Remove references to deprecated spark configs like spark.yarn.am.port > - Remove TaskContext.isRunningLocally > - Remove ShuffleMetrics.shuffle* methods > - Remove BaseReadWrite.context in favor of session > - Remove Column.!== in favor of =!= > - Remove Dataset.explode > - Remove Dataset.registerTempTable > - Remove SQLContext.getOrCreate, setActive, clearActive, constructors > Not touched yet: > - everything else in MLLib > - HiveContext > - Anything deprecated more recently than 2.0.0, generally -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org